Researchers have developed a novel artificial intelligence model that analyzes data from routine polysomnography sleep studies to identify patients' long-term health risks, including cognitive decline. The study was published in Nature Communications.
Frequent, long, or early-day naps in older adults are linked to higher mortality risk and may signal underlying conditions like cardiovascular disease, neurodegeneration, or sleep disorders, suggesting daytime sleep patterns could serve as an early warning sign of declining health.
Research from the University of Oulu suggests that large variations in bedtime during midlife may double the risk of cardiovascular events, highlighting the importance of consistent sleep schedules for heart health.
